利用地理空间技术监测林冠密度:印度马哈拉施特拉邦 Gadchiroli 地区研究

Ravindra S. Medhe, Y. Badhe
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摘要

森林覆盖是环境的重要组成部分。它为国家的社会经济和环境福利做出了重要贡献。然而,砍伐森林、采矿活动增加、人口增长、无节制的城市化、不断发展的工业化趋势、农业用地、轮垦、对土壤、水和生物多样性的影响、不可持续的人类活动等因素严重威胁着这些森林。因此,制定促进可持续森林管理、防止荒漠化、防止水土流失和遏制环境退化的战略至关重要。遥感技术使人类能够观察和获取地球表面的时空变化信息。本研究以印度马哈拉施特拉邦的 Gadchiroli 地区为研究区域。本研究调查了森林冠层密度和森林的时空变化。利用空间分辨率为 30 米的 Landsat 5 号和 Landsat 8 号卫星的数据,通过几种指数显示了森林冠层密度的地理格局。努力使研究更贴近当代世界。研究地区的森林覆盖率随着时间的推移发生了变化,这一点通过几组多时数据(1989 年和 2019 年)可以看出。结果显示,1989 年至 2019 年间,森林冠层覆盖率和森林密度均有所下降。这表明,30 年间,有 1045.51 平方公里的土地退化。在研究期间,高密度森林的数量明显减少,而非森林面积在过去 30 年中逐渐增加。
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Forest Canopy Density Monitoring by Using Geospatial Techniques: A Study of Gadchiroli District, Maharashtra, India
Forest cover is a crucial part of the environment. It makes an essential contribution to the socio-economic and environmental welfare of the Nation. However, these forests are seriously threatened by deforestation, increased mining activity, population growth, uncontrolled urbanisation, a developing tendency of industrialisation, agricultural land purpose, shifting cultivation, effects on soil, water, and biodiversity, unsustainable forms of human activities and others. As a result, developing strategies to promote sustainable forest management, prevent desertification, prevent soil erosion, and halt environmental degradation is essential. Remote Sensing has enabled humans to observe and obtain information about the earth's surface with spatiotemporal changes. The Indian state of Maharashtra's Gadchiroli district is used as a study region. This study investigates forest canopy density and the spatiotemporal changes in forests. The geographical pattern of forest canopy density is displayed by several indices using data from Landsat 5 and Landsat 8 at 30 m spatial resolution. Try to make the study more relevant in the contemporary world. The research area's forest cover has changed through time, as shown by several multi-temporal data sets (1989 and 2019). The results revealed that between 1989 and 2019, forest canopy cover and forest density decreased. It indicated that over 30 years, 1045.51 sq. km of land had degraded. The amount of highly dense forest has decreased significantly over the research period, whereas the non-forest area has been gradually growing for the past 30 years.
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